Literature DB >> 17540304

Abdominal MRI advances in the detection of liver tumours and characterisation.

Russell N Low1.   

Abstract

With recent technical advances in hardware, software, and intravenous contrast agents, MRI has evolved into a clinically useful procedure to detect and characterise liver tumours. The combination of MRI systems with larger gradients, improved surface coils, and parallel imaging techniques have produced substantial improvements in MRI quality and speed of image acquisition. Images that previously needed several minutes to acquire can now be obtained in several seconds. The notably faster imaging capabilities of new MRI scanners are ideally suited for dynamic contrast-enhanced liver imaging in which early arterial-phase imaging is best for detecting hepatocellular carcinomas and hypervascular liver metastases. The inherent excellent soft-tissue contrast of MRI can be further improved by non-specific extracellular contrast agents and by liver-specific contrast agents. These contrast agents are now routinely used for liver imaging and improve the sensitivity and specificity of hepatobiliary MRI.

Entities:  

Mesh:

Year:  2007        PMID: 17540304     DOI: 10.1016/S1470-2045(07)70170-5

Source DB:  PubMed          Journal:  Lancet Oncol        ISSN: 1470-2045            Impact factor:   41.316


  15 in total

1.  Magnetic resonance imaging: Review of imaging techniques and overview of liver imaging.

Authors:  Santhi Maniam; Janio Szklaruk
Journal:  World J Radiol       Date:  2010-08-28

2.  Diffusion-weighted MRI provides additional value to conventional dynamic contrast-enhanced MRI for detection of hepatocellular carcinoma.

Authors:  Vincent Vandecaveye; Frederik De Keyzer; Chris Verslype; Katya Op de Beeck; Mina Komuta; Baki Topal; Ilse Roebben; Didier Bielen; Tania Roskams; Frederik Nevens; Steven Dymarkowski
Journal:  Eur Radiol       Date:  2009-05-14       Impact factor: 5.315

Review 3.  Advances in functional and molecular MRI technologies in chronic liver diseases.

Authors:  Iris Y Zhou; Onofrio A Catalano; Peter Caravan
Journal:  J Hepatol       Date:  2020-06-22       Impact factor: 25.083

Review 4.  Imaging of Cholangiocarcinoma.

Authors:  Susann-Cathrin Olthof; Ahmed Othman; Stephan Clasen; Christina Schraml; Konstantin Nikolaou; Malte Bongers
Journal:  Visc Med       Date:  2016-12-06

5.  Magnetic resonance imaging of the liver: New imaging strategies for evaluating focal liver lesions.

Authors:  Kenneth Coenegrachts
Journal:  World J Radiol       Date:  2009-12-31

Review 6.  Hepatobiliary MR imaging with gadolinium-based contrast agents.

Authors:  Alex Frydrychowicz; Meghan G Lubner; Jeffrey J Brown; Elmar M Merkle; Scott K Nagle; Neil M Rofsky; Scott B Reeder
Journal:  J Magn Reson Imaging       Date:  2012-03       Impact factor: 4.813

7.  Contributions of Magnetic Resonance Imaging to Gastroenterological Practice: MRIs for GIs.

Authors:  Christopher G Roth; Dina Halegoua-De Marzio; Flavius F Guglielmo
Journal:  Dig Dis Sci       Date:  2018-05       Impact factor: 3.199

Review 8.  Imaging of liver cancer.

Authors:  Ben Ariff; Claire R Lloyd; Sameer Khan; Mohamed Shariff; Andrew V Thillainayagam; Devinder S Bansi; Shahid A Khan; Simon D Taylor-Robinson; Adrian K P Lim
Journal:  World J Gastroenterol       Date:  2009-03-21       Impact factor: 5.742

9.  Influence of cardiac motion on diffusion-weighted magnetic resonance imaging of the liver.

Authors:  Thomas C Kwee; Taro Takahara; Tetsu Niwa; Marko K Ivancevic; Gwenael Herigault; Marc Van Cauteren; Peter R Luijten
Journal:  MAGMA       Date:  2009-09-02       Impact factor: 2.310

10.  Intensity non-uniformity correction in MR imaging using residual cycle generative adversarial network.

Authors:  Xianjin Dai; Yang Lei; Yingzi Liu; Tonghe Wang; Lei Ren; Walter J Curran; Pretesh Patel; Tian Liu; Xiaofeng Yang
Journal:  Phys Med Biol       Date:  2020-11-27       Impact factor: 3.609

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